🎓 MSc Computer Science (Internet of Things) | University of Salerno, Italy
🔬 Part-time Researcher | University of Tartu (EST-LEAF Project)
I'm passionate about building intelligent systems that combine Machine Learning, Computer Vision, IoT, and Software Engineering. Alongside AI research, I enjoy developing reliable software using modern testing, automation, and DevOps practices.
Languages: Python • Java • C++ • SQL • JavaScript • HTML • CSS
Machine Learning & AI: PyTorch • TensorFlow Lite • CNNs • Transfer Learning • Computer Vision • Data Augmentation • Model Evaluation
Data Analytics: Pandas • NumPy • SQL • Matplotlib • Streamlit • Data Visualization
IoT & Edge AI: MQTT • Raspberry Pi • SQLite • Tesseract OCR
Software Engineering: Java • Maven • JUnit • JaCoCo • Git • GitHub • GitHub Actions • Docker • CI/CD • Unit Testing • Code Coverage
Developed an end-to-end PyTorch pipeline for agricultural image classification as part of the University of Tartu's EST-LEAF research project.
Designed a real-time analytics dashboard using Python, MQTT, SQLite, Pandas, and Streamlit for sensor monitoring and anomaly detection.
Applied software testing and DevOps practices using JUnit, JaCoCo, Docker, Maven, and GitHub Actions to improve testing automation and code quality.
Built a CNN-based medical image classification model using transfer learning and performance optimization.
Developed an embedded audio classification pipeline with TensorFlow Lite for efficient edge-device deployment.
Created a Raspberry Pi–based wearable system for real-time text recognition using Tesseract OCR.
- MLOps
- Explainable AI (XAI)
- Vision Transformers (ViTs)
- Cloud-based AI Deployment
- LinkedIn: https://linkedin.com/in/nighat-shaheen
- GitHub: https://github.com/NighatShaheen
- Email: nighat2414@gmail.com